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Power distribution network optimization method and system considering wind-solar output and price demand response

A technology of price demand response and optimization method, applied in information technology support system, calculation, genetic law, etc., can solve the problems of unconsidered wind and solar output correlation, unreasonable pricing method, etc.

Active Publication Date: 2020-11-20
STATE GRID BAODING ELECTRIC POWER SUPPLY CO +6
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Problems solved by technology

Some literatures have considered the uncertainty of wind and solar output, and established a distribution network reconfiguration model based on peak-valley time-of-use electricity prices, but the pricing method in the model is not reasonable enough, and the correlation of wind and solar output has not been considered.

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  • Power distribution network optimization method and system considering wind-solar output and price demand response
  • Power distribution network optimization method and system considering wind-solar output and price demand response
  • Power distribution network optimization method and system considering wind-solar output and price demand response

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Embodiment Construction

[0077] Below in conjunction with accompanying drawing of description, the present invention will be further described.

[0078] Such as Figure 1-3 As shown, the present invention provides a distribution network optimization method considering wind power output and price demand response, including the following steps:

[0079] Step 1. Based on the pricing principle of the mixed electricity price, combine the time-of-use electricity price with the real-time electricity price to obtain the daily electricity price curve of the mixed electricity price, that is, the electricity price for each hour of the day;

[0080] The mixed electricity price method is to use the time-of-use electricity price during the low-valley period and normal time period, and use the real-time electricity price method during the peak period. Generally, the peak period is 7:00-10:00 and 17:00-19:00; 11:00-16:00; normal hours are 1:00-6:00, 20:00-24:00.

[0081] Time-of-use electricity price method: In thi...

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Abstract

The invention discloses a power distribution network optimization method considering wind-solar output and price demand response. The method comprises the following steps: obtaining a daily electricity price curve by adopting a hybrid pricing method; performing stratified sampling and correlation control on the wind-solar output to obtain a wind-solar output condition; establishing a user demandresponse model according to the daily electricity price curve and the wind-solar output condition; establishing a power distribution network optimization model according to the user demand response;and solving the power distribution network optimization model by adopting a genetic algorithm, and finally optimizing the power distribution network through the model.

Description

technical field [0001] The invention belongs to the technical field of power grid optimization, and in particular relates to a distribution network optimization method that takes into account wind power output and price demand response. Background technique [0002] In recent years, with the development of the economy, electricity consumption has continued to increase. Demand response has become an effective means to solve the growing contradiction between supply and demand. Through price and incentives, demand response can guide users to reasonably change consumption patterns, smooth peak-to-valley differences, and optimize power grid operation. Reasonable electricity prices can allow users to spontaneously transfer electricity consumption from periods of high electricity prices to periods of low electricity prices. Some literatures have established demand response models, analyzed the impact of electricity prices on users' electricity consumption during peak hours and of...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04G06Q10/06G06Q30/02G06Q50/06G06N3/12
CPCG06Q10/04G06Q10/067G06Q30/0284G06Q50/06G06N3/126Y04S50/14
Inventor 付文杰霍胜利杨伯青陈伟张军朝郭庚江张强孔令号潘龙懿张卫国李化陈良亮宋杰周材邵军军
Owner STATE GRID BAODING ELECTRIC POWER SUPPLY CO
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